HowSo
HowSo, founded in 2017 and headquartered in the United States, has developed an AI reasoning layer that operates directly on enterprise source systems.
Profile
HowSo provides an enterprise AI reasoning engine that generates auditable, explainable predictions and insights directly from a company's own data, without using neural networks.
HowSo, founded in 2017 and headquartered in the United States, has developed an AI reasoning layer that operates directly on enterprise source systems. The company claims its engine, based on information theory and probability theory, provides fully auditable, deterministic outputs as an alternative to neural networks. HowSo markets itself as a way to eliminate hallucinations and black-box outputs in AI, with stated results including 80% faster insight-to-action and a 50% reduction in data and ML pipeline management time.
The company lists a broad set of integration partners including Anthropic, Apache Spark, Azure, AWS, Cloudera, Collibra, Databricks, DeepSeek, Google Cloud, IBM, Kubernetes, LangChain, Meta, Microsoft, OpenAI, Red Hat, and Snowflake. Notable logos on its site include BlueCross BlueShield, Duke Health, Mastercard, DBS, St. Jude Children's Research Hospital, and Mutua Madrileña.
HowSo was selected by Microsoft for Startups as a 'Responsible AI' startup partner, and Accenture chose it for its FinTech Innovation Lab. Gartner featured the company in its GenAI Engineering Market Quadrant. The company's website claims 99% privacy with synthetic data retaining full analytical utility and 25+ predictive and prescriptive analytics in one engine.
No recent funding rounds, revenue figures, headcount, or leadership changes were found in the provided dossier. The company's financial trajectory and current scale remain opaque from public sources.
Who buys this
- Large enterprises in regulated industries requiring explainable AI (e.g., healthcare, finance, insurance)
- Data science and machine learning teams seeking to reduce pipeline management time and eliminate black-box model outputs
- Organizations needing synthetic data generation that preserves analytical utility while ensuring privacy
- Companies integrating AI with existing data platforms like Databricks, Snowflake, and AWS
Publicly disclosed clients
- BlueCross BlueShield
- Duke Health
- Mastercard
- DBS
- St. Jude Children's Research Hospital
- Mutua Madrileña
- Scanbuy
Strengths and what to watch
Strengths
- Claims to eliminate hallucinations and provide full attribution and audit trails, a key differentiator for regulated industries
- Broad integration with major cloud platforms, data lakes, and LLM providers (AWS, Azure, GCP, Databricks, Snowflake, OpenAI, Anthropic, etc.)
- Endorsed by Microsoft for Startups as a 'Responsible AI' partner and featured in Gartner's GenAI Engineering Market Quadrant
Watch for
- No publicly disclosed revenue, funding rounds, or headcount data, making it difficult to assess financial health or growth trajectory
- Relies on proprietary mathematical claims (information theory and probability theory) as an alternative to neural networks, which may face skepticism from the broader ML community
- Customer logos on the website may represent past or limited engagements rather than active, scaled deployments; no independent verification of claimed results (e.g., 80% faster insight-to-action)
Key Information
- Industry
- AI Observability
- Founded
- 2017
Frequently Asked Questions
What is HowSo and what does it do?
HowSo is an enterprise AI reasoning engine that generates auditable, explainable predictions and insights directly from a company's own data. It uses information theory and probability theory instead of neural networks to provide deterministic outputs with full attribution.
How does HowSo make AI explainable and auditable?
HowSo's engine, based on information theory and probability theory, produces fully auditable, deterministic outputs. This eliminates black-box behavior and hallucinations common in neural networks, providing clear attribution and audit trails for every prediction, which is critical for regulated industries.
Which industries and companies use HowSo?
HowSo serves large enterprises in regulated industries like healthcare, finance, and insurance. Notable clients include BlueCross BlueShield, Duke Health, Mastercard, DBS, St. Jude Children's Research Hospital, and Mutua Madrileña, indicating strong adoption in sectors requiring explainable AI.
How does HowSo integrate with existing data platforms?
HowSo integrates with major cloud and data platforms including AWS, Azure, Google Cloud, Databricks, Snowflake, Apache Spark, and Kubernetes. It also partners with LLM providers like OpenAI, Anthropic, and Meta, allowing seamless deployment within existing enterprise infrastructure.
What are the claimed benefits of using HowSo?
HowSo claims 80% faster insight-to-action and a 50% reduction in data and ML pipeline management time. It also states 99% privacy with synthetic data that retains full analytical utility, and offers over 25 predictive and prescriptive analytics in one engine.
Is HowSo suitable for organizations needing synthetic data generation?
Yes, HowSo provides synthetic data generation that preserves analytical utility while ensuring privacy. The company claims 99% privacy with synthetic data, making it suitable for organizations that need to share or analyze sensitive data without exposing actual records.
Sources
- www.howso.com — Company description, product claims, customer logos, integration partners, and claimed results
- nvidianews.nvidia.com — NVIDIA financial results (used as a reference for the date context, not directly about HowSo)
- ir.supermicro.com — Supermicro quarterly results page (used as a reference for the date context, not directly about HowSo)
- investor.bankofamerica.com — Bank of America investor relations page (used as a reference for the date context, not directly about HowSo)